Hugging Face's logo

Datasets:
infinite-dataset-hub
/
LegalMLPractitioner

Modalities:
Text
Formats:
csv
Size:
< 1K
Tags:
infinite-dataset-hub
Synthetic
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
1
LegalMLPractitioner / README.md
lhoestq's picture
lhoestq HF Staff
Upload README.md with huggingface_hub
550c49d verified
preview code
|
raw
history blame contribute delete
1.94 kB
metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

LegalMLPractitioner

tags: legal documents, ML, classification

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'LegalMLPractitioner' dataset is curated for machine learning practitioners interested in classifying legal documents related to mergers and acquisitions (M&A) and venture capital (VC) founding activities. Each document in the dataset is labeled based on its relevance to these topics, with the goal of enabling ML models to accurately predict the domain of the document. The labels are anonymized and do not directly correspond to the keywords.

CSV Content Preview:


filename,text,label

document_001,"Licensing agreement for technology transfer between two companies involved in an M&A deal",M&A_Document

document_002,"Term Sheet for venture capital funding in a tech startup's Series A round",VC_Founding_Document

document_003,"Memorandum of understanding for a strategic partnership between corporations",Non_M&A_Non_VC_Document

document_004,"Non-disclosure agreement between a VC firm and a potential startup acquisition target",VC_Related_Document

document_005,"Confidentiality agreement in the context of an M&A transaction",M&A_Document

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'laywer legal documents (m&a, vc founding, etc)':